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CASIA OpenIR
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Pedestrian Choice Modeling and Simulation of Staged Evacuation Strategies in Daya Bay Nuclear Power Plant 期刊论文
EEE Transactions on Computational Social Systems, 2020, 卷号: 7, 期号: 3, 页码: 686-695
作者:  Yang, Linyao;  Wang, Xiao;  Zhang, Jun Jason;  Zhou, Min;  Wang, Fei-Yue
Adobe PDF(2409Kb)  |  收藏  |  浏览/下载：178/54  |  提交时间：2022/06/15
Agent-based modeling  exit choice  pedestrian crowd evacuation  random forest (RF)  staged evacuation  
Hierarchical Fused Model With Deep Learning and Type-2 Fuzzy Learning for Breast Cancer Diagnosis 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 卷号: 28, 期号: 12, 页码: 3204-3218
作者:  Shen, Tianyu;  Wang, Jiangong;  Gou, Chao;  Wang, Fei-Yue
Adobe PDF(3530Kb)  |  收藏  |  浏览/下载：345/76  |  提交时间：2021/03/02
Image segmentation  Biomedical imaging  Fuzzy sets  Breast cancer  Breast cancer  deep learning (DL)  fuzzy classifier (FC)  interval type-2 possibilistic fuzzy c-means (IT2PFCM)  
Acting As A Decision Maker: Traffic-Condition-Aware Ensemble Learning for Traffic Flow Prediction 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 期号: Accepted, 页码: Accepted
作者:  Yuanyuan Chen;  Hongyu Chen;  Peijun Ye;  Yisheng Lv;  Fei-Yue Wang
浏览  |  Adobe PDF(2382Kb)  |  收藏  |  浏览/下载：304/63  |  提交时间：2020/10/16
Traffic Flow Prediction  Ensemble Learning  Deep Learning  
Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2020, 卷号: 21, 期号: 10, 页码: 4063 - 4071
作者:  Fenghua Zhu;  Yisheng Lv;  Yuanyuan Chen;  Xiao Wang;  Gang Xiong;  Fei-Yue Wang
浏览  |  Adobe PDF(2879Kb)  |  收藏  |  浏览/下载：484/236  |  提交时间：2020/10/15
Intelligent transportation systems  
Decision-Making in Driver-Automation Shared Control: A Review and Perspectives 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 5, 页码: 1289-1307
作者:  Wang, Wenshuo;  Na, Xiaoxiang;  Cao, Dongpu;  Gong, Jianwei;  Xi, Junqiang;  Xing, Yang;  Wang, Fei-Yue
浏览  |  Adobe PDF(14998Kb)  |  收藏  |  浏览/下载：262/31  |  提交时间：2020/09/07
Automated vehicle  decision-making  human driver  human-vehicle interaction  shared control  
The manufacturing procedure of 3D printed models for endoscopic endonasal transsphenoidal pituitary surgery 期刊论文
TECHNOLOGY AND HEALTH CARE, 2020, 卷号: 28, 页码: S131-S150
作者:  Shen, Zhen;  Xie, Yi;  Shang, Xiuqin;  Xiong, Gang;  Chen, Shi;  Yao, Yong;  Pan, Zhouxian;  Pan, Hui;  Dong, Xisong;  Li, Yuqing;  Guo, Chao;  Wang, Fei-Yue
收藏  |  浏览/下载：303/0  |  提交时间：2020/08/03
Endoscopic endonasal transsphenoidal pituitary surgery  3D printing  surgery simulation  pituitary tumor  
A novel background subtraction algorithm based on parallel vision and Bayesian GANs 期刊论文
NEUROCOMPUTING, 2020, 卷号: 394, 页码: 178-200
作者:  Zheng, Wenbo;  Wang, Kunfeng;  Wang, Fei-Yue
收藏  |  浏览/下载：263/0  |  提交时间：2020/06/22
Background subtraction  Background model  Bayesian generative adversarial network  Convolutional neural networks  Parallel vision  
A parallel vision approach to scene-specific pedestrian detection 期刊论文
NEUROCOMPUTING, 2020, 卷号: 394, 页码: 114-126
作者:  Zhang, Wenwen;  Wang, Kunfeng;  Liu, Yating;  Lu, Yue;  Wang, Fei-Yue
Adobe PDF(4090Kb)  |  收藏  |  浏览/下载：377/55  |  提交时间：2020/06/22
Pedestrian detection  Specific scene  Synthetic data  Video surveillance  Parallel vision  
A Recurrent Attention and Interaction Model for Pedestrian Trajectory Prediction 期刊论文
Journal of Automatica Sinica, 2020, 期号: *, 页码: *
作者:  Li Xuesong;  Liu Yating;  Wang Kunfeng;  Wang Fei-Yue
浏览  |  Adobe PDF(5533Kb)  |  收藏  |  浏览/下载：177/52  |  提交时间：2020/06/08
Trajectory prediction  recurrent attention and interaction model  Long Short-Term Memory  deep learning  
Parallel reinforcement learning-based energy efficiency improvement for a cyber-physical system 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 2, 页码: 617-626
作者:  Liu, Teng;  Tian, Bin;  Ai, Yunfeng;  Wang, Fei-Yue
Adobe PDF(5784Kb)  |  收藏  |  浏览/下载：261/6  |  提交时间：2020/06/02
Bidirectional long short-term memory (LSTM) network  cyber-physical system (CPS)  energy management  parallel system  reinforcement learning (RL)